Overview

Dataset statistics

Number of variables20
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory160.5 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:51:12.184889
Analysis finished2020-08-25 00:52:08.388492
Duration56.2 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.96515154838562e-10
Minimum-1.804659485816956
Maximum1.714638590812683
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:08.436867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.804659486
5-th percentile-1.565851772
Q1-0.8050571531
median0.0007762464229
Q30.8544724584
95-th percentile1.560808641
Maximum1.714638591
Range3.519298077
Interquartile range (IQR)1.659529611

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1003497033
Kurtosis-1.163796426
Mean-9.965151548e-10
Median Absolute Deviation (MAD)0.8323193637
Skewness0.009469647194
Sum-2.491287887e-07
Variance1.000000002
2020-08-25T00:52:08.542859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.11120571210.4%
 
1.27570283410.4%
 
0.00726453447710.4%
 
-0.709644377210.4%
 
0.665698468710.4%
 
-0.392662465610.4%
 
-0.610030531910.4%
 
-0.295737534810.4%
 
-1.12225341810.4%
 
-1.51962089510.4%
 
-1.28548395610.4%
 
1.53483426610.4%
 
-0.736483216310.4%
 
0.421332031510.4%
 
1.00324380410.4%
 
0.172279968910.4%
 
1.52193105210.4%
 
1.03675460810.4%
 
1.27569305910.4%
 
-0.614407837410.4%
 
-1.76256835510.4%
 
-1.04453694810.4%
 
-0.492373108910.4%
 
-0.422433137910.4%
 
-1.76092517410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.80465948610.4%
 
-1.7647687210.4%
 
-1.76256835510.4%
 
-1.76157343410.4%
 
-1.76092517410.4%
 
-1.76013004810.4%
 
-1.73668754110.4%
 
-1.73321032510.4%
 
-1.71502661710.4%
 
-1.67952430210.4%
 
ValueCountFrequency (%) 
1.71463859110.4%
 
1.69747543310.4%
 
1.68729901310.4%
 
1.68726658810.4%
 
1.68105614210.4%
 
1.67277324210.4%
 
1.67088127110.4%
 
1.66577994810.4%
 
1.58618056810.4%
 
1.58303511110.4%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.960464477539063e-10
Minimum-1.7362065315246582
Maximum1.7424397468566897
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:08.663745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.736206532
5-th percentile-1.552842999
Q1-0.8242931664
median0.07248112559
Q30.7657703757
95-th percentile1.560355097
Maximum1.742439747
Range3.478646278
Interquartile range (IQR)1.590063542

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1677721602
Kurtosis-1.179069803
Mean-5.960464478e-10
Median Absolute Deviation (MAD)0.8148698807
Skewness-0.03214879389
Sum-1.490116119e-07
Variance1.000000003
2020-08-25T00:52:08.774562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.258056253210.4%
 
0.277416318710.4%
 
-0.596286594910.4%
 
1.11656165110.4%
 
-1.10190868410.4%
 
-0.855149626710.4%
 
1.64486837410.4%
 
0.408867657210.4%
 
-0.423910349610.4%
 
0.35750359310.4%
 
-0.986487507810.4%
 
-0.782382786310.4%
 
0.62808263310.4%
 
-0.786771357110.4%
 
1.47099614110.4%
 
0.284060090810.4%
 
-0.546984076510.4%
 
1.13212168210.4%
 
0.527485072610.4%
 
-0.974256694310.4%
 
0.569156765910.4%
 
-1.39577376810.4%
 
-1.46705889710.4%
 
1.63072025810.4%
 
1.74243974710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.73620653210.4%
 
-1.70146274610.4%
 
-1.69719004610.4%
 
-1.67232048510.4%
 
-1.66161465610.4%
 
-1.65994834910.4%
 
-1.65916323710.4%
 
-1.6422412410.4%
 
-1.62407791610.4%
 
-1.61372125110.4%
 
ValueCountFrequency (%) 
1.74243974710.4%
 
1.71244633210.4%
 
1.69489431410.4%
 
1.68282890310.4%
 
1.68051910410.4%
 
1.67096161810.4%
 
1.64486837410.4%
 
1.63072025810.4%
 
1.61243033410.4%
 
1.57817685610.4%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.966292858123779e-10
Minimum-1.6359294652938845
Maximum1.6375348567962646
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:08.894601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.635929465
5-th percentile-1.490390533
Q1-0.9315002561
median-0.007844147738
Q30.9368883669
95-th percentile1.484669197
Maximum1.637534857
Range3.273464322
Interquartile range (IQR)1.868388623

Descriptive statistics

Standard deviation0.9999999992
Coefficient of variation (CV)-1435483721
Kurtosis-1.329498573
Mean-6.966292858e-10
Median Absolute Deviation (MAD)0.9363900102
Skewness-0.007032448399
Sum-1.741573215e-07
Variance0.9999999983
2020-08-25T00:52:09.000413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.641642391710.4%
 
-0.262865483810.4%
 
0.0326955169410.4%
 
1.18980622310.4%
 
0.849709093610.4%
 
-0.848805189110.4%
 
-0.916249394410.4%
 
1.08658337610.4%
 
-0.270102202910.4%
 
0.520669341110.4%
 
0.450274944310.4%
 
-1.32258069510.4%
 
-0.273515850310.4%
 
-1.31280565310.4%
 
1.13213968310.4%
 
0.0832574069510.4%
 
-0.652228832210.4%
 
-1.05927705810.4%
 
-0.275706529610.4%
 
-1.33915448210.4%
 
0.222394406810.4%
 
0.699234366410.4%
 
-1.48462092910.4%
 
-0.414604872510.4%
 
1.55202591410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.63592946510.4%
 
-1.61054754310.4%
 
-1.60515105710.4%
 
-1.6017359510.4%
 
-1.58715355410.4%
 
-1.58276641410.4%
 
-1.58007776710.4%
 
-1.56837880610.4%
 
-1.54695618210.4%
 
-1.53682875610.4%
 
ValueCountFrequency (%) 
1.63753485710.4%
 
1.62224364310.4%
 
1.61262214210.4%
 
1.6030324710.4%
 
1.59548592610.4%
 
1.5800486810.4%
 
1.56884241110.4%
 
1.55461645110.4%
 
1.55202591410.4%
 
1.5339968210.4%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4959444999694826e-09
Minimum-1.7148987054824831
Maximum1.8385297060012815
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:09.112880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.714898705
5-th percentile-1.584043813
Q1-0.8315154761
median-0.02289659251
Q30.8421819955
95-th percentile1.583681422
Maximum1.838529706
Range3.553428411
Interquartile range (IQR)1.673697472

Descriptive statistics

Standard deviation0.9999999959
Coefficient of variation (CV)-400649932.7
Kurtosis-1.158897017
Mean-2.4959445e-09
Median Absolute Deviation (MAD)0.8527202057
Skewness-0.0060231346
Sum-6.23986125e-07
Variance0.9999999917
2020-08-25T00:52:09.217618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.752440273810.4%
 
-0.798978984410.4%
 
0.104330882410.4%
 
-0.605642080310.4%
 
-0.631519913710.4%
 
-0.576831281210.4%
 
-1.26693940210.4%
 
1.83852970610.4%
 
0.906417548710.4%
 
0.444172084310.4%
 
1.27897584410.4%
 
1.66730642310.4%
 
-1.40353250510.4%
 
-1.20637071110.4%
 
-0.127357274310.4%
 
0.421384960410.4%
 
0.53380602610.4%
 
1.24149608610.4%
 
-0.151768520510.4%
 
1.54422414310.4%
 
0.179844066510.4%
 
0.00100494734910.4%
 
-0.569955229810.4%
 
-1.18477368410.4%
 
-1.48365294910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.71489870510.4%
 
-1.71426892310.4%
 
-1.69142246210.4%
 
-1.6835168610.4%
 
-1.6820725210.4%
 
-1.67059040110.4%
 
-1.66449928310.4%
 
-1.63326621110.4%
 
-1.62298667410.4%
 
-1.61603617710.4%
 
ValueCountFrequency (%) 
1.83852970610.4%
 
1.83298957310.4%
 
1.81584966210.4%
 
1.81318318810.4%
 
1.77229714410.4%
 
1.75951206710.4%
 
1.75398397410.4%
 
1.74426233810.4%
 
1.71127045210.4%
 
1.69826483710.4%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7788261175155639e-09
Minimum-1.830939531326294
Maximum1.6899367570877075
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:09.335110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.830939531
5-th percentile-1.624763399
Q1-0.8941455632
median0.09485276043
Q30.8235284835
95-th percentile1.514765799
Maximum1.689936757
Range3.520876288
Interquartile range (IQR)1.717674047

Descriptive statistics

Standard deviation0.9999999971
Coefficient of variation (CV)562168492.6
Kurtosis-1.1012359
Mean1.778826118e-09
Median Absolute Deviation (MAD)0.8463722318
Skewness-0.1002965047
Sum4.447065294e-07
Variance0.9999999942
2020-08-25T00:52:09.439652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.562494695210.4%
 
1.49056696910.4%
 
0.470801532310.4%
 
0.0496338419610.4%
 
-1.15662980110.4%
 
1.67615890510.4%
 
-1.56287515210.4%
 
0.265229165610.4%
 
1.21618628510.4%
 
0.142379403110.4%
 
1.45934534110.4%
 
0.629626631710.4%
 
-0.945489227810.4%
 
-1.04917323610.4%
 
-0.101364150610.4%
 
-0.818526148810.4%
 
1.61015534410.4%
 
0.996417045610.4%
 
0.00831098575110.4%
 
0.0180410109510.4%
 
1.45833182310.4%
 
1.2904962310.4%
 
-0.719886481810.4%
 
-0.167826026710.4%
 
0.40681731710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.83093953110.4%
 
-1.81767928610.4%
 
-1.79585409210.4%
 
-1.75340700110.4%
 
-1.72112071510.4%
 
-1.70784890710.4%
 
-1.69552934210.4%
 
-1.68351888710.4%
 
-1.66547918310.4%
 
-1.6546262510.4%
 
ValueCountFrequency (%) 
1.68993675710.4%
 
1.67886054510.4%
 
1.67615890510.4%
 
1.63985514610.4%
 
1.63231384810.4%
 
1.62280392610.4%
 
1.61637723410.4%
 
1.61015534410.4%
 
1.59980404410.4%
 
1.59871530510.4%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.738328814506531e-09
Minimum-1.7454814910888672
Maximum1.6833200454711914
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:09.559187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.745481491
5-th percentile-1.507280433
Q1-0.8193137646
median-0.01141099283
Q30.7492840737
95-th percentile1.538926893
Maximum1.683320045
Range3.428801537
Interquartile range (IQR)1.568597838

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)267499208.9
Kurtosis-1.16331538
Mean3.738328815e-09
Median Absolute Deviation (MAD)0.7960263675
Skewness0.03712670334
Sum9.345822036e-07
Variance1.000000001
2020-08-25T00:52:09.667294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.507323026710.4%
 
0.279865413910.4%
 
-0.563664257510.4%
 
1.6566224110.4%
 
-1.74548149110.4%
 
-0.820491790810.4%
 
1.19078540810.4%
 
-1.46324384210.4%
 
1.35386550410.4%
 
-0.697926819310.4%
 
-1.01596987210.4%
 
1.45248353510.4%
 
1.45349061510.4%
 
0.56691944610.4%
 
-1.51497757410.4%
 
0.671055674610.4%
 
-1.04126787210.4%
 
-0.16385731110.4%
 
1.49054348510.4%
 
-0.55299866210.4%
 
-0.147863656310.4%
 
1.21806013610.4%
 
1.17313194310.4%
 
-0.924455821510.4%
 
0.153408065410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.74548149110.4%
 
-1.74143898510.4%
 
-1.72446858910.4%
 
-1.7182328710.4%
 
-1.71373176610.4%
 
-1.68160903510.4%
 
-1.6811407810.4%
 
-1.65771973110.4%
 
-1.63835406310.4%
 
-1.62530100310.4%
 
ValueCountFrequency (%) 
1.68332004510.4%
 
1.67017066510.4%
 
1.65895414410.4%
 
1.6566224110.4%
 
1.64510166610.4%
 
1.61062192910.4%
 
1.59519195610.4%
 
1.58981478210.4%
 
1.57008492910.4%
 
1.55750310410.4%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.576278693628865e-09
Minimum-1.6763631105422974
Maximum1.7682573795318604
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:09.787206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.676363111
5-th percentile-1.501555151
Q1-0.8584106714
median-0.02453257143
Q30.8938366473
95-th percentile1.527535027
Maximum1.76825738
Range3.44462049
Interquartile range (IQR)1.752247319

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)279620266.2
Kurtosis-1.231045642
Mean3.576278694e-09
Median Absolute Deviation (MAD)0.8769848347
Skewness0.03663796446
Sum8.940696734e-07
Variance1
2020-08-25T00:52:10.059040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.536617398310.4%
 
-0.186808496710.4%
 
-1.50059521210.4%
 
-1.39197504510.4%
 
-0.487882047910.4%
 
1.21226179610.4%
 
-1.35249912710.4%
 
0.825367867910.4%
 
1.52787733110.4%
 
-0.775892198110.4%
 
1.47103905710.4%
 
0.930830895910.4%
 
-1.34408223610.4%
 
1.70443284510.4%
 
1.32064104110.4%
 
-0.585776507910.4%
 
-1.37720930610.4%
 
-1.26789724810.4%
 
-1.09246504310.4%
 
-0.0307665485910.4%
 
-1.14874255710.4%
 
1.59487438210.4%
 
-0.193762317310.4%
 
-0.082476481810.4%
 
0.436452388810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.67636311110.4%
 
-1.66576969610.4%
 
-1.65987932710.4%
 
-1.64999043910.4%
 
-1.63195586210.4%
 
-1.61827015910.4%
 
-1.60404574910.4%
 
-1.59080469610.4%
 
-1.57430529610.4%
 
-1.56045436910.4%
 
ValueCountFrequency (%) 
1.7682573810.4%
 
1.75411391310.4%
 
1.72562003110.4%
 
1.70443284510.4%
 
1.68255186110.4%
 
1.67117774510.4%
 
1.65468072910.4%
 
1.64006507410.4%
 
1.62819480910.4%
 
1.61394095410.4%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.364387571811676e-10
Minimum-1.6704565286636353
Maximum1.7448896169662476
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:10.175367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.670456529
5-th percentile-1.510326338
Q1-0.8882503957
median-0.0551764071
Q30.9123445451
95-th percentile1.503682047
Maximum1.744889617
Range3.415346146
Interquartile range (IQR)1.800594941

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-7329295734
Kurtosis-1.286051376
Mean-1.364387572e-10
Median Absolute Deviation (MAD)0.877073437
Skewness0.01897646897
Sum-3.41096893e-08
Variance1.000000002
2020-08-25T00:52:10.279964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.36938202410.4%
 
-0.939597010610.4%
 
-0.196698054710.4%
 
0.16544769710.4%
 
0.803154826210.4%
 
0.932291686510.4%
 
0.69938021910.4%
 
1.50916850610.4%
 
1.48175954810.4%
 
-0.539120078110.4%
 
-0.064372874810.4%
 
-0.700975120110.4%
 
-0.528961062410.4%
 
-0.126433953610.4%
 
0.828272879110.4%
 
1.012980710.4%
 
-0.943243861210.4%
 
1.24539804510.4%
 
0.90091466910.4%
 
-1.59012138810.4%
 
1.47244024310.4%
 
-1.23757398110.4%
 
1.24636042110.4%
 
0.728159189210.4%
 
0.400211989910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.67045652910.4%
 
-1.63362181210.4%
 
-1.63215851810.4%
 
-1.59978222810.4%
 
-1.59012138810.4%
 
-1.57479524610.4%
 
-1.57243657110.4%
 
-1.57086646610.4%
 
-1.56679654110.4%
 
-1.56400728210.4%
 
ValueCountFrequency (%) 
1.74488961710.4%
 
1.70545399210.4%
 
1.692984710.4%
 
1.67112100110.4%
 
1.67053651810.4%
 
1.66862773910.4%
 
1.64146602210.4%
 
1.60946440710.4%
 
1.58057570510.4%
 
1.57233643510.4%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0710361897945403e-09
Minimum-1.5341967344284058
Maximum1.810136795043945
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:10.396352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.534196734
5-th percentile-1.4221995
Q1-0.9161075503
median-0.0928937532
Q30.8945774585
95-th percentile1.614801967
Maximum1.810136795
Range3.344333529
Interquartile range (IQR)1.810685009

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-325622995.8
Kurtosis-1.295851628
Mean-3.07103619e-09
Median Absolute Deviation (MAD)0.9285676517
Skewness0.1535067878
Sum-7.677590474e-07
Variance1.000000009
2020-08-25T00:52:10.502561image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.70703053510.4%
 
0.00120515434510.4%
 
-1.03321564210.4%
 
1.34116542310.4%
 
-0.368492782110.4%
 
1.00912463710.4%
 
-1.21712589310.4%
 
-0.926432251910.4%
 
0.280141830410.4%
 
-0.841957688310.4%
 
-0.329912543310.4%
 
-0.666991293410.4%
 
-0.497089177410.4%
 
1.43923544910.4%
 
1.69854140310.4%
 
-0.540674388410.4%
 
0.534300088910.4%
 
0.549628913410.4%
 
-0.807867884610.4%
 
1.48856151110.4%
 
1.07600271710.4%
 
1.77273023110.4%
 
-1.26003384610.4%
 
-0.847300827510.4%
 
-1.53419673410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.53419673410.4%
 
-1.52552580810.4%
 
-1.52052652810.4%
 
-1.52015101910.4%
 
-1.50213909110.4%
 
-1.50134682710.4%
 
-1.49413704910.4%
 
-1.47914719610.4%
 
-1.47334420710.4%
 
-1.45948541210.4%
 
ValueCountFrequency (%) 
1.81013679510.4%
 
1.7990504510.4%
 
1.77273023110.4%
 
1.70703053510.4%
 
1.69854140310.4%
 
1.69237995110.4%
 
1.67175447910.4%
 
1.65355038610.4%
 
1.64470744110.4%
 
1.62890958810.4%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.307366907596588e-11
Minimum-1.7038397789001465
Maximum1.860236883163452
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:10.616687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.703839779
5-th percentile-1.461768407
Q1-0.8563606739
median-0.08033844456
Q30.8181428313
95-th percentile1.626421362
Maximum1.860236883
Range3.564076662
Interquartile range (IQR)1.674503505

Descriptive statistics

Standard deviation0.9999999965
Coefficient of variation (CV)2.321603936e+10
Kurtosis-1.11412091
Mean4.307366908e-11
Median Absolute Deviation (MAD)0.8417305388
Skewness0.1228291183
Sum1.076841727e-08
Variance0.9999999929
2020-08-25T00:52:10.719451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.54784822510.4%
 
-0.0044886581610.4%
 
-1.09997618210.4%
 
-0.0887679904710.4%
 
-1.39293813710.4%
 
-0.451017230710.4%
 
-1.02867317210.4%
 
0.202287480210.4%
 
1.04722034910.4%
 
1.48013389110.4%
 
-1.10971772710.4%
 
-0.465905904810.4%
 
-1.14486539410.4%
 
-0.337459087410.4%
 
0.631999909910.4%
 
-1.60871410410.4%
 
-0.853648781810.4%
 
0.948692381410.4%
 
-1.45102667810.4%
 
0.70692360410.4%
 
-0.279439240710.4%
 
0.320387452810.4%
 
1.8277752410.4%
 
1.07548582610.4%
 
-0.957660913510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.70383977910.4%
 
-1.68647670710.4%
 
-1.67522323110.4%
 
-1.67020285110.4%
 
-1.630762110.4%
 
-1.60871410410.4%
 
-1.6078237310.4%
 
-1.60104680110.4%
 
-1.60044157510.4%
 
-1.54916787110.4%
 
ValueCountFrequency (%) 
1.86023688310.4%
 
1.84027516810.4%
 
1.83321571410.4%
 
1.8277752410.4%
 
1.80225455810.4%
 
1.79565751610.4%
 
1.76574873910.4%
 
1.74341738210.4%
 
1.74003517610.4%
 
1.68888974210.4%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0489097529718946e-11
Minimum-1.7264622449874878
Maximum1.680220365524292
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:10.839897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726462245
5-th percentile-1.606102383
Q1-0.8678185344
median0.01157198241
Q30.7732354701
95-th percentile1.593897545
Maximum1.680220366
Range3.406682611
Interquartile range (IQR)1.641054004

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)4.88064443e+10
Kurtosis-1.137045216
Mean2.048909753e-11
Median Absolute Deviation (MAD)0.8316574991
Skewness-0.05295611369
Sum5.122274382e-09
Variance0.9999999945
2020-08-25T00:52:10.945098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0933845490210.4%
 
-0.901039004310.4%
 
0.735039293810.4%
 
0.180219128710.4%
 
0.695963501910.4%
 
-0.99089336410.4%
 
-0.226367741810.4%
 
0.317246884110.4%
 
-0.0663049817110.4%
 
-0.331945180910.4%
 
1.33365714610.4%
 
1.55110716810.4%
 
1.67903435210.4%
 
1.2522735610.4%
 
-1.48469495810.4%
 
-0.934238016610.4%
 
-1.6874471910.4%
 
-0.704255163710.4%
 
-1.54913449310.4%
 
0.423251271210.4%
 
-0.0376375950910.4%
 
-0.310865521410.4%
 
-1.24345815210.4%
 
0.0871150493610.4%
 
-0.403636485310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.72646224510.4%
 
-1.72557342110.4%
 
-1.71503031310.4%
 
-1.70792841910.4%
 
-1.70669436510.4%
 
-1.70578265210.4%
 
-1.70009827610.4%
 
-1.69961786310.4%
 
-1.6874471910.4%
 
-1.66778051910.4%
 
ValueCountFrequency (%) 
1.68022036610.4%
 
1.67903435210.4%
 
1.66674399410.4%
 
1.66340827910.4%
 
1.65665805310.4%
 
1.65331125310.4%
 
1.64539039110.4%
 
1.62982940710.4%
 
1.6255352510.4%
 
1.62271344710.4%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6810372471809387e-09
Minimum-1.792827010154724
Maximum1.6662318706512451
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:11.066447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.79282701
5-th percentile-1.646380103
Q1-0.7760714442
median0.03356057405
Q30.8450566977
95-th percentile1.486453664
Maximum1.666231871
Range3.459058881
Interquartile range (IQR)1.621128142

Descriptive statistics

Standard deviation0.9999999995
Coefficient of variation (CV)594870816.3
Kurtosis-1.112294273
Mean1.681037247e-09
Median Absolute Deviation (MAD)0.8133346736
Skewness-0.1178007947
Sum4.202593118e-07
Variance0.9999999991
2020-08-25T00:52:11.184282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.40136659110.4%
 
-1.03155338810.4%
 
0.530386626710.4%
 
0.62370675810.4%
 
0.685716986710.4%
 
-1.21486425410.4%
 
0.413900345610.4%
 
0.448568046110.4%
 
0.311847776210.4%
 
0.632972836510.4%
 
1.66340303410.4%
 
1.469220410.4%
 
-0.881991565210.4%
 
-0.57974463710.4%
 
1.451502810.4%
 
-0.710498988610.4%
 
-1.3772237310.4%
 
1.29130744910.4%
 
0.00343951326810.4%
 
-0.33066338310.4%
 
-1.59695780310.4%
 
0.478339284710.4%
 
-1.30051064510.4%
 
-0.28864097610.4%
 
0.267697870710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.7928270110.4%
 
-1.78352308310.4%
 
-1.75553727110.4%
 
-1.75295805910.4%
 
-1.72766828510.4%
 
-1.72394537910.4%
 
-1.71117234210.4%
 
-1.70918893810.4%
 
-1.70496261110.4%
 
-1.70405697810.4%
 
ValueCountFrequency (%) 
1.66623187110.4%
 
1.66340303410.4%
 
1.65222322910.4%
 
1.62848067310.4%
 
1.59443843410.4%
 
1.58315694310.4%
 
1.57801461210.4%
 
1.57666099110.4%
 
1.54544246210.4%
 
1.52935564510.4%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.930181229350183e-10
Minimum-1.6848338842391968
Maximum1.6114895343780518
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:11.302736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.684833884
5-th percentile-1.535551327
Q1-0.8691375107
median0.01236104849
Q30.8482220918
95-th percentile1.510185039
Maximum1.611489534
Range3.296323419
Interquartile range (IQR)1.717359602

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)2544411932
Kurtosis-1.310116191
Mean3.930181229e-10
Median Absolute Deviation (MAD)0.8613041043
Skewness-0.03880701775
Sum9.825453073e-08
Variance1.000000003
2020-08-25T00:52:11.414198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.27636706810.4%
 
-1.21805667910.4%
 
1.01402485410.4%
 
-1.43594074210.4%
 
-0.624685823910.4%
 
0.789234876610.4%
 
-0.700851917310.4%
 
1.59408438210.4%
 
-1.06286430410.4%
 
0.586590766910.4%
 
0.628093242610.4%
 
1.51335573210.4%
 
-1.65010714510.4%
 
-1.59110975310.4%
 
0.742820680110.4%
 
-0.208286985810.4%
 
0.331114143110.4%
 
-0.512346386910.4%
 
0.805314600510.4%
 
-1.56961047610.4%
 
1.45046007610.4%
 
-1.68483388410.4%
 
-0.41461640610.4%
 
-1.16627383210.4%
 
-0.546515405210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.68483388410.4%
 
-1.65966045910.4%
 
-1.65634715610.4%
 
-1.65010714510.4%
 
-1.6402360210.4%
 
-1.62561559710.4%
 
-1.62191855910.4%
 
-1.61828684810.4%
 
-1.59624326210.4%
 
-1.59110975310.4%
 
ValueCountFrequency (%) 
1.61148953410.4%
 
1.60460090610.4%
 
1.59408438210.4%
 
1.59136235710.4%
 
1.5782139310.4%
 
1.57212805710.4%
 
1.56134808110.4%
 
1.54387211810.4%
 
1.53338694610.4%
 
1.52442920210.4%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.559033989906311e-09
Minimum-1.7494909763336182
Maximum1.7386181354522705
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:11.531745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.749490976
5-th percentile-1.591337019
Q1-0.7598565072
median-0.11706971
Q30.8640321344
95-th percentile1.556083322
Maximum1.738618135
Range3.488109112
Interquartile range (IQR)1.623888642

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)641422836.3
Kurtosis-1.129467478
Mean1.55903399e-09
Median Absolute Deviation (MAD)0.8110231757
Skewness0.03061258531
Sum3.897584975e-07
Variance1.000000007
2020-08-25T00:52:11.636527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.08495318910.4%
 
-0.516240835210.4%
 
1.08917164810.4%
 
1.65757477310.4%
 
1.25908815910.4%
 
0.500636279610.4%
 
1.51981735210.4%
 
0.297790229310.4%
 
-1.60935783410.4%
 
-0.309640139310.4%
 
-0.585848867910.4%
 
0.0517451614110.4%
 
1.21902048610.4%
 
1.07350742810.4%
 
-1.49608433210.4%
 
0.110001169110.4%
 
-1.61678934110.4%
 
-0.415346115810.4%
 
-1.45727944410.4%
 
1.54612982310.4%
 
-0.136871263410.4%
 
-1.08617734910.4%
 
1.39444935310.4%
 
-0.156035155110.4%
 
-0.46343684210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.74949097610.4%
 
-1.73199665510.4%
 
-1.72154533910.4%
 
-1.71554768110.4%
 
-1.71524345910.4%
 
-1.70156168910.4%
 
-1.69551169910.4%
 
-1.65473401510.4%
 
-1.64815843110.4%
 
-1.62668955310.4%
 
ValueCountFrequency (%) 
1.73861813510.4%
 
1.72125315710.4%
 
1.70873594310.4%
 
1.66480004810.4%
 
1.65757477310.4%
 
1.65268218510.4%
 
1.63534414810.4%
 
1.61607110510.4%
 
1.61523449410.4%
 
1.60558557510.4%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1795276552438737e-09
Minimum-1.7624945640563965
Maximum1.7526484727859497
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:11.753001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.762494564
5-th percentile-1.574299026
Q1-0.8579331934
median-0.0202301112
Q30.8200100213
95-th percentile1.557569015
Maximum1.752648473
Range3.515143037
Interquartile range (IQR)1.677943215

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-458815009.1
Kurtosis-1.133928404
Mean-2.179527655e-09
Median Absolute Deviation (MAD)0.8412044942
Skewness0.001460997364
Sum-5.448819138e-07
Variance1.000000002
2020-08-25T00:52:11.859721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.57544934710.4%
 
1.41046941310.4%
 
-1.61659276510.4%
 
-1.62244498710.4%
 
-1.53650414910.4%
 
-1.07464456610.4%
 
0.454925179510.4%
 
0.112693436410.4%
 
0.398281097410.4%
 
1.41538262410.4%
 
1.67056000210.4%
 
-1.75559270410.4%
 
-1.63997662110.4%
 
-1.32978379710.4%
 
0.478350639310.4%
 
-0.34660181410.4%
 
-0.606567263610.4%
 
-1.43683445510.4%
 
-0.536774873710.4%
 
-0.610210061110.4%
 
0.589996159110.4%
 
0.792143642910.4%
 
0.0943418219710.4%
 
-1.00321674310.4%
 
-1.61845099910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.76249456410.4%
 
-1.75559270410.4%
 
-1.75228154710.4%
 
-1.73717105410.4%
 
-1.70074772810.4%
 
-1.63997662110.4%
 
-1.62244498710.4%
 
-1.61864125710.4%
 
-1.61845099910.4%
 
-1.61659276510.4%
 
ValueCountFrequency (%) 
1.75264847310.4%
 
1.73804163910.4%
 
1.73202073610.4%
 
1.69600987410.4%
 
1.69277024310.4%
 
1.68144965210.4%
 
1.67704665710.4%
 
1.67056000210.4%
 
1.66853904710.4%
 
1.63744115810.4%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.766268491744995e-09
Minimum-1.6386457681655884
Maximum1.6545990705490112
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:11.976881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.638645768
5-th percentile-1.467827493
Q1-0.9483637065
median0.04635803774
Q30.8484814167
95-th percentile1.531638104
Maximum1.654599071
Range3.293244839
Interquartile range (IQR)1.796845123

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)265514794.3
Kurtosis-1.334144618
Mean3.766268492e-09
Median Absolute Deviation (MAD)0.8989512436
Skewness-0.0007019041822
Sum9.415671229e-07
Variance1.000000008
2020-08-25T00:52:12.091488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.61523795110.4%
 
-1.07738423310.4%
 
0.122257381710.4%
 
-1.090164910.4%
 
0.862709999110.4%
 
1.50488674610.4%
 
1.31913614310.4%
 
1.21321988110.4%
 
1.22491610110.4%
 
1.65459907110.4%
 
-0.0775569528310.4%
 
0.739407122110.4%
 
0.473461389510.4%
 
-0.318674236510.4%
 
-1.2470722210.4%
 
0.352698236710.4%
 
-0.508414685710.4%
 
0.61634308110.4%
 
1.59520447310.4%
 
0.842904031310.4%
 
0.980108559110.4%
 
1.00188124210.4%
 
1.46704614210.4%
 
0.797486841710.4%
 
-0.768677115410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.63864576810.4%
 
-1.63484132310.4%
 
-1.61265683210.4%
 
-1.58919918510.4%
 
-1.57984924310.4%
 
-1.56934964710.4%
 
-1.56170451610.4%
 
-1.54386055510.4%
 
-1.51381313810.4%
 
-1.50580084310.4%
 
ValueCountFrequency (%) 
1.65459907110.4%
 
1.64445805510.4%
 
1.6428171410.4%
 
1.63872516210.4%
 
1.63397860510.4%
 
1.62941014810.4%
 
1.61523795110.4%
 
1.59520447310.4%
 
1.56370568310.4%
 
1.56080460510.4%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.937383785843849e-09
Minimum-1.6986674070358276
Maximum1.7028493881225586
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:12.210943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.698667407
5-th percentile-1.556178284
Q1-0.8355145156
median0.001854904724
Q30.8768925071
95-th percentile1.574193794
Maximum1.702849388
Range3.401516795
Interquartile range (IQR)1.712407023

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)516159993.3
Kurtosis-1.187922493
Mean1.937383786e-09
Median Absolute Deviation (MAD)0.8654418506
Skewness0.00492205676
Sum4.843459465e-07
Variance1.000000004
2020-08-25T00:52:12.315901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.604003131410.4%
 
0.798454284710.4%
 
-0.751758098610.4%
 
0.297936141510.4%
 
-0.821945309610.4%
 
1.16244113410.4%
 
-0.435965567810.4%
 
-0.255696117910.4%
 
-0.748695671610.4%
 
0.579747140410.4%
 
1.06476557310.4%
 
-1.32158780110.4%
 
-0.239465087710.4%
 
-0.540673196310.4%
 
-0.941604554710.4%
 
1.20156729210.4%
 
-1.60374653310.4%
 
-0.0372706614410.4%
 
1.23306667810.4%
 
1.49440848810.4%
 
-0.288640767310.4%
 
-0.814494490610.4%
 
1.6911469710.4%
 
1.03150725410.4%
 
-0.485903531310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69866740710.4%
 
-1.66116726410.4%
 
-1.65114784210.4%
 
-1.6499571810.4%
 
-1.64633154910.4%
 
-1.63397717510.4%
 
-1.62203800710.4%
 
-1.60374653310.4%
 
-1.60364377510.4%
 
-1.59344112910.4%
 
ValueCountFrequency (%) 
1.70284938810.4%
 
1.6911469710.4%
 
1.68635737910.4%
 
1.68512594710.4%
 
1.67375934110.4%
 
1.67265403310.4%
 
1.66256105910.4%
 
1.65045964710.4%
 
1.62400543710.4%
 
1.61329317110.4%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.816109478473664e-10
Minimum-1.7253191471099854
Maximum1.6278843879699707
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:12.433119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.725319147
5-th percentile-1.598128694
Q1-0.8639919311
median-0.02325169276
Q30.8664708734
95-th percentile1.497633457
Maximum1.627884388
Range3.353203535
Interquartile range (IQR)1.730462804

Descriptive statistics

Standard deviation0.999999998
Coefficient of variation (CV)1719362405
Kurtosis-1.204230243
Mean5.816109478e-10
Median Absolute Deviation (MAD)0.8622818189
Skewness-0.07581001253
Sum1.45402737e-07
Variance0.999999996
2020-08-25T00:52:12.541972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.60742163710.4%
 
0.771839201510.4%
 
-0.936690092110.4%
 
0.286884546310.4%
 
0.058634493510.4%
 
-0.0449414774810.4%
 
0.528967022910.4%
 
0.616367995710.4%
 
-0.293437153110.4%
 
0.84341424710.4%
 
-0.763334035910.4%
 
-1.68170154110.4%
 
-1.55888581310.4%
 
-0.428050160410.4%
 
-1.66630029710.4%
 
-0.867417275910.4%
 
0.820008218310.4%
 
0.874156415510.4%
 
-0.217562362610.4%
 
-0.296940326710.4%
 
-1.53782665710.4%
 
-1.71119427710.4%
 
-0.978223383410.4%
 
-0.286925613910.4%
 
0.716428756710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.72531914710.4%
 
-1.71119427710.4%
 
-1.71088194810.4%
 
-1.68170154110.4%
 
-1.6775783310.4%
 
-1.6677938710.4%
 
-1.66630029710.4%
 
-1.66415584110.4%
 
-1.65018665810.4%
 
-1.63610839810.4%
 
ValueCountFrequency (%) 
1.62788438810.4%
 
1.61716437310.4%
 
1.59726595910.4%
 
1.57463884410.4%
 
1.54443514310.4%
 
1.53870010410.4%
 
1.53124892710.4%
 
1.52679610310.4%
 
1.51547217410.4%
 
1.5080914510.4%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6111880576374915e-09
Minimum-1.6272951364517212
Maximum1.7629109621047974
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:12.661280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.627295136
5-th percentile-1.451972395
Q1-0.8783391118
median-0.1124919131
Q30.826443851
95-th percentile1.616954058
Maximum1.762910962
Range3.390206099
Interquartile range (IQR)1.704782963

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-620660014.7
Kurtosis-1.252351552
Mean-1.611188058e-09
Median Absolute Deviation (MAD)0.8852338195
Skewness0.1474155288
Sum-4.027970144e-07
Variance1.000000007
2020-08-25T00:52:12.771595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.274413764510.4%
 
-1.20540797710.4%
 
-1.00722181810.4%
 
0.445264548110.4%
 
-1.03162372110.4%
 
0.9127840410.4%
 
-1.45837831510.4%
 
-1.60847890410.4%
 
-0.780453562710.4%
 
1.6780879510.4%
 
1.31214809410.4%
 
0.917305886710.4%
 
0.0352281779110.4%
 
-1.62729513610.4%
 
-0.680343031910.4%
 
-0.440999180110.4%
 
-0.995741009710.4%
 
-1.12760865710.4%
 
0.784508466710.4%
 
1.55695724510.4%
 
-0.849278926810.4%
 
1.47101759910.4%
 
1.61066341410.4%
 
0.368484556710.4%
 
0.717437624910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.62729513610.4%
 
-1.60847890410.4%
 
-1.60845649210.4%
 
-1.60247981510.4%
 
-1.58061516310.4%
 
-1.53712332210.4%
 
-1.53692662710.4%
 
-1.53212821510.4%
 
-1.52165412910.4%
 
-1.50656032610.4%
 
ValueCountFrequency (%) 
1.76291096210.4%
 
1.72546267510.4%
 
1.72093439110.4%
 
1.70975911610.4%
 
1.70356631310.4%
 
1.68246102310.4%
 
1.67869174510.4%
 
1.67828249910.4%
 
1.6780879510.4%
 
1.65191125910.4%
 

target
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4426186680793762e-09
Minimum-2.6696696281433105
Maximum2.07403302192688
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:52:12.896434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.669669628
5-th percentile-1.700683725
Q1-0.7149034292
median0.1765782461
Q30.8360084742
95-th percentile1.438930064
Maximum2.074033022
Range4.74370265
Interquartile range (IQR)1.550911903

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)693183878.6
Kurtosis-0.7185706858
Mean1.442618668e-09
Median Absolute Deviation (MAD)0.770691134
Skewness-0.3613241105
Sum3.60654667e-07
Variance1.000000007
2020-08-25T00:52:13.159514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.0078109510.4%
 
0.526077568510.4%
 
0.655444145210.4%
 
-0.636414885510.4%
 
0.358244955510.4%
 
-0.037395272410.4%
 
0.22932551810.4%
 
0.177077189110.4%
 
-0.250088274510.4%
 
0.669120371310.4%
 
-0.548512518410.4%
 
0.852711021910.4%
 
-2.52217078210.4%
 
-1.30532276610.4%
 
-0.617354154610.4%
 
-2.01627945910.4%
 
-0.961781024910.4%
 
0.457194417710.4%
 
-0.752600729510.4%
 
0.820955812910.4%
 
-2.16077375410.4%
 
-1.68498206110.4%
 
-0.622219920210.4%
 
0.134802728910.4%
 
-1.26787221410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.66966962810.4%
 
-2.52217078210.4%
 
-2.17682027810.4%
 
-2.16077375410.4%
 
-2.10378241510.4%
 
-2.01627945910.4%
 
-1.99685764310.4%
 
-1.9509314310.4%
 
-1.944395910.4%
 
-1.92458188510.4%
 
ValueCountFrequency (%) 
2.07403302210.4%
 
1.78167653110.4%
 
1.69525933310.4%
 
1.68742871310.4%
 
1.60425734510.4%
 
1.53991484610.4%
 
1.53593361410.4%
 
1.52610516510.4%
 
1.5038640510.4%
 
1.50189256710.4%
 

Interactions

2020-08-25T00:51:13.212619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:13.337595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:13.467296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:13.592889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:13.724864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:13.861598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:13.990151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:14.116998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:14.252615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:14.381628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:14.515655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:14.641184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:14.935891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.064303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.186532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.309035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.434370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.566621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.701930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.826931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:15.944734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.069978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.193113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.316143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.445441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.576407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.713331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.850573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:16.973414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.100892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.245091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.374093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.502943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.631124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.758677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:17.887915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.013657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.152285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.289067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.416258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.541553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.857424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:18.987489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.118494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.252377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.385164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.515767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.646406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.773042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:19.897106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.023709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.151572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.280580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.405081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.535829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.662292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.788478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:20.913299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.040968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.165314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.279373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.408008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.535846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.665143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.796992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:21.929746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:22.059209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:22.198530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:22.329111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:22.460042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:22.780611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:22.909793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:23.038723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:23.173461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:23.304179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:23.437268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:51:51.571318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:51.700292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:51.832620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:51.964990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.094269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.223677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.351975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.490502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.626190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.756183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:52.886924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.017866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.147025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.275099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.403241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.533119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.663053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.803103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:53.927707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:54.059709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:54.360894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:54.488693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:54.623477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:54.757541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:54.886265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.014238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.143629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.271658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.402397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.531920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.666246image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.805720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:55.933724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.062925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.192516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.322145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.450280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.582268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.702714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:56.843666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.018735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.161847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.305794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.441773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.581855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.715248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.851430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:57.979593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:58.120462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:58.434540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:58.561787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:58.693826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:58.825971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:58.955387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.084283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.215806image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.349008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.479288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.603259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.732169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.864308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:51:59.994207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.127479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.262731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.392491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.523701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.652237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.780461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:00.917483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.050442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.183258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.312476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.441918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.571657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.701291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.831375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:01.961024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:02.093782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:02.392295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:02.522025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:02.653886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:02.787851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:02.923791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.058610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.193321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.322256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.451419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.579765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.723818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.864189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:03.996039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.128047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.259667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.389061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.517975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.648076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.780815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:04.910444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.030832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.149209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.268821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.389359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.510912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.632906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.752123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.873097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:05.993712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:06.117236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:06.422909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:06.539295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:06.656168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:06.776152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:06.894881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:07.012780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:07.130346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:07.248697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:07.367924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:07.486529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:52:13.300994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:52:13.610197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:52:13.944138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:52:14.252930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:52:07.751310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:52:08.231775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
00.825961-1.426599-1.026336-0.7989791.5427071.670171-0.583592-1.3718411.4392350.1561451.2187280.755458-0.722484-1.0831771.302810-1.003672-0.5395261.2891630.0864660.967195
1-0.9313650.8011741.4422770.4233090.418278-1.2428980.9884171.670537-1.253621-0.438909-1.725573-0.607542-0.2843661.4642941.0854730.610572-1.103593-0.990088-1.5369270.869854
20.225114-1.4927050.9418701.623229-1.190452-1.625301-1.604046-0.8722670.6240501.4213171.3336570.413900-0.5465150.6138351.4998630.1586281.031507-0.6127430.729301-0.542106
3-0.175696-1.440054-0.866531-1.0875221.521090-0.412003-1.1835611.242925-1.3211171.802255-0.140515-0.0273221.513794-1.1994280.5993820.709736-0.939502-0.773918-0.666424-0.324157
40.441398-1.119002-0.001571-1.4965310.3053021.2180600.674210-0.7804791.116931-0.299513-1.2011340.2122580.805196-0.7531790.2596910.175923-1.361177-0.8528441.3377200.655444
5-0.5004181.271226-1.6359290.6854461.289953-0.8819080.4372921.284248-1.063729-0.320245-1.549134-0.3900870.590292-0.116589-0.558960-0.2985431.702849-0.1882221.414171-0.257439
6-1.115140-1.2489431.0968911.2524530.430036-1.2099551.015884-1.0133840.230583-0.4510170.8903241.2063650.4657950.129955-0.9354701.615238-0.367642-1.2185441.2915620.965547
7-0.329277-1.5137180.833618-0.108328-0.2424290.5954420.6784331.4817601.799050-0.421842-0.512047-0.151193-0.579079-0.7742220.386397-1.4336430.454015-1.094222-0.2302460.585453
81.697475-1.659948-1.4236761.356816-1.4945981.683320-0.9634291.4188931.2478040.2161711.327259-0.7292220.863656-0.361605-0.915302-1.2304300.6679970.7870801.038585-0.203860
9-1.736688-0.605852-0.415449-0.3722471.6761590.0739211.3818100.903070-0.3299131.074012-1.150459-0.271240-1.276367-0.3201620.9842530.0534940.0893511.4882810.0724670.527410

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
2400.509941-0.8346971.5954861.319279-0.1310330.6156820.5684630.472227-0.5239560.1021260.335544-1.139366-0.4188250.021789-1.3297840.514515-0.0424160.564844-1.329655-1.065512
2410.918438-0.5157390.4418460.054716-0.2331340.815366-0.1155520.241229-0.2434130.799397-1.462108-0.552946-0.686967-0.677200-1.2197521.440820-0.7517580.535991-0.2904070.328417
2420.8402300.527485-0.652229-0.9939321.290496-1.292445-1.352798-1.599782-1.110507-1.179874-1.200662-0.778516-0.6540840.6696511.096500-1.5138130.778027-0.5060321.2926940.002323
2431.308867-0.619849-1.312806-0.631520-0.5311331.6589540.2236120.989192-0.931340-1.503444-0.0663051.399805-1.4359410.366138-0.3466021.4966960.378860-0.6968940.7848210.124769
244-0.9983061.3179410.529270-0.9879771.610155-0.211379-0.6920570.566901-0.1064530.3487320.928930-0.408239-1.1836231.6648000.3749940.907018-1.4132971.186128-0.341194-1.586331
245-1.761573-0.5205820.7647620.7324511.4848071.1309911.4948621.4138000.977006-0.360382-1.484695-1.0252350.4077600.459687-0.1047610.2741501.3855351.147572-1.3401100.244176
2461.5219310.171939-0.7897690.0686141.4593450.3754271.0959100.803155-1.2242520.1586230.751560-0.5886190.820760-0.095539-0.4227061.552089-0.217347-1.677578-1.008772-1.267872
2471.1134251.3999881.0833490.829123-0.320925-1.0159701.320641-1.495315-0.686157-1.193951-1.466678-0.090564-1.618287-0.202420-1.5477331.560805-0.417253-0.176813-0.995741-0.904867
248-1.5161240.2774161.1321400.4794300.3114750.270244-0.8614340.3085321.5513870.316646-1.6677810.9615700.358830-0.952745-0.132954-1.1007860.407358-1.611642-0.5899540.935022
249-1.073234-1.6240780.6726550.5960490.417506-0.6960810.156216-1.463790-1.044783-0.9721220.387220-0.9794571.1608241.162318-0.3014081.103789-0.2394650.716429-1.472397-1.066200